Artificial intelligence-based internet of things for industry 5.0

B Chander, S Pal, D De, R Buyya - Artificial intelligence-based internet of …, 2022 - Springer
Abstract In Industry 5.0 paradigm, AI-based systems are the essential component for the
Internet of Things. In most applications, Industry 5.0 showed a significant connection …

Machine learning for security at the iot edge-a feasibility study

H Wang, L Barriga, A Vahidi… - 2019 IEEE 16th …, 2019 - ieeexplore.ieee.org
Benefits of edge computing include reduced latency and bandwidth savings, privacy-by-
default and by-design in compliance with new privacy regulations that encourage sharing …

The quest for privacy in the internet of things

P Porambage, M Ylianttila, C Schmitt… - IEEE Cloud …, 2016 - ieeexplore.ieee.org
The Internet of Things (IoT) is the current evolutionary paradigm of networking and the key
driving force toward a smart world. Although privacy in the IoT is highly regarded to ensure …

A review of security and privacy concerns in the internet of things (IoT)

M Aqeel, F Ali, MW Iqbal, TA Rana, M Arif… - Journal of …, 2022 - Wiley Online Library
The recent two decades have witnessed tremendous growth in Internet of things (IoT)
applications. There are more than 50 billion devices connected globally. IoT applications' …

Using machine learning for protecting the security and privacy of Internet of Things (IoT) systems

M Moh, R Raju - Fog and Edge Computing: Principles and …, 2019 - books.google.com
Using machine learning for protecting the security and privacy of Internet of Things (IoT)
systems Page 249 k 10 Using Machine Learning for Protecting the Security and Privacy of …

Layered architecture for end-to-end security, trust, and privacy for the internet of things

KM Sadique, P Johannesson - … on Data Science: Proceedings of ICTIDS …, 2021 - Springer
Abstract The Internet of Things (IoT) paradigm consists of smart sensor objects and their
related applications. All these intelligent sensors communicate and transfer data via the …

Addressing security and computation challenges in IoT using machine learning

BK Mohanta, U Satapathy, D Jena - Advances in Distributed Computing …, 2021 - Springer
Abstract The Internet of things (IoT) is widely used to implement different applications like
smart home, smart health care, smart city, and smart farming system. The development of …

A survey on IoT security: application areas, security threats, and solution architectures

V Hassija, V Chamola, V Saxena, D Jain, P Goyal… - IEEE …, 2019 - ieeexplore.ieee.org
The Internet of Things (IoT) is the next era of communication. Using the IoT, physical objects
can be empowered to create, receive, and exchange data in a seamless manner. Various …

[PDF][PDF] Edge-to-Cloud Intelligence: Enhancing IoT Devices with Machine Learning and Cloud Computing

S Kanungo - International Peer-Reviewed Journal, 2019 - irejournals.com
The rapid growth of the Internet of Things (IoT) has exponentially increased the number of
connected devices that generate large amounts of data. Leveraging advanced technologies …

Security and privacy in the Internet of Things: threats and challenges

Y Badr, X Zhu, MN Alraja - Service Oriented Computing and Applications, 2021 - Springer
In the past few years, the Internet of Things (IoT) has emerged, grown and gradually affected
the daily lives of human beings in many new application domains, ranging from wearable …